Results 271 to 280 of about 846,838 (328)

A Monte Carlo code for nuclear astrophysics experiments

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1995
Abstract A Monte Carlo code, suited for nuclear astrophysics experiments, is described. The code has been developed in the frame of the LUNA pilot project at the Laboratori Nazionali del Gran Sasso. An accurate evaluation of ion energy and angular straggling, and Doppler broadening has been implemented, which are important at subCoulomb energies. The
C. ARPESELLA, E. BELLOTTI, C. BROGGINI, P. CORVISIERO, S. FUBINI, GERVINO, Gianpiero, U. GREIFE, C. GUSTAVINO, M. JUNKER, A. LANZA, P. PRATI, C. ROLFS, D. ZAHNOW, S. ZAVATARELLI   +13 more
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Monte-Carlo Experiments

1996
In this chapter, based on the criteria of bias (BIAS) and root mean square error (RMSE), we examine the nonlinear filters introduced and developed in the previous chapters. Monte-Carlo experiments are performed in Section 5.2. There, each nonlinear filter is compared using various types of nonlinear functions. One set of data y t and α t for t = 1, ...,
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Monte Carlo tree search experiments in hearthstone

2017 IEEE Conference on Computational Intelligence and Games (CIG), 2017
In this paper, we introduce a Monte-Carlo tree search (MCTS) approach for the game "Hearthstone: Heroes of Warcraft". We argue that, in light of the challenges posed by the game (such as uncertainty and hidden information), Monte Carlo tree search offers an appealing alternative to existing AI players.
Andre Santos, Pedro A. Santos, Francisco S. Melo   +2 more
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Quasi-Monte Carlo: A high-dimensional experiment

Monte Carlo Methods and Applications, 2014
Abstract Certain very high-dimensional integrals can be efficiently approximated by quasi-Monte Carlo (q-MC) methods. If the average dimension of the integrand is small, the convergence rate can be near to 1/N, where N is the sample size.
Ilya M. Sobol, Boris V. Shukhman
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Monte Carlo Simulation of the TAIGA Experiment

Bulletin of the Russian Academy of Sciences: Physics, 2019
The TAIGA (Tunka Advanced Instrument for cosmic ray physics and Gamma-ray Astronomy) experiment aims at observing gamma-rays in the energy range from 1 TeV to several 100 TeV. The operation of the observatory is based on a new hybrid approach that combines imaging air Cherenkov telescopes (IACTs) and wide-angle Cherenkov detectors (TAIGA-HiSCORE) for ...
Postnikov, E. B., Astapov, I. I., Gafarov, A. R., Garmash, A. Yu., Gorbunov, N. V., Grebenyuk, V. M., Gress, O. A., Gress, T. I., Grishin, O. G., Grinyuk, A. A., Horns, D., Ivanova, A. L., Bezyazeekov, P. A., Kalmykov, N. N., Kazarina, Y. A., Kindin, V. V., Kiryuhin, S. N., Kirilenko, P. S., Kokoulin, R. P., Kompaniets, K. G., Korosteleva, E. E., Kozhin, V. A., Kravchenko, E. A., Boreyko, V. F., Kunnas, M., Lagutin, A. A., Kuzmichev, L. A., Lemeshev, Yu., Lenok, V. V., Lubsandorzhiev, B. K., Lubsandorzhiev, N. B., Mirgazov, R. R., Mirzoyan, R., Monkhoev, R. D., Borodin, A. N., Osipova, E. A., Pakhorukov, A. L., Panasyuk, M. I., Pankov, L. V., Petrukhin, A. A., Poleschuk, V. A., Popescu, M., Popova, E. G., Porelli, A., Postnikov, E. B., Brueckner, M., Prosin, V. V., Ptuskin, V. S., Rjabov, E. V., Rubtsov, G. I., Pushnin, A. A., Raikin, R. I., Sagan, Y. I., Sabirov, B. M., Samoliga, V. S., Semeney, Yu. A., Budnev, N. M., Silaev, A. A., Silaev, A. A., Sidorenkov, A. Yu., Skurikhin, A. V., Slunecka, M., Sokolov, A. V., Spiering, C., Sveshnikova, L. G., Tabolenko, V. A., Tarashansky, B. A., Chiavassa, A., Tkachenko, A. V., Tkachev, L. G., Tluczykont, M., Wischnewski, R., Zagorodnikov, A. V., Zhurov, D. P., Zurbanov, V. L., Yashin, I. I., Dyachok, A. N., Fedorov, O. L.   +77 more
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Fuzzily recent data: a Monte Carlo experiment

IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04., 2004
A simulation experiment demonstrates the effectiveness of using a fuzzy set of "recent data" to train a forecasting model when the underlying process is time-varying.
T. Whalen, G.P. Zhang
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The time scale of Monte Carlo experiments

Physics Letters A, 1983
Abstract The time required to reach equilibrium in a standard Monte Carlo experiment is estimated on the basis of exact bounds on the longest time scale in one-dimensional models. The result implies the empirical law of Arrhenius at low temperatures if there are energy barriers.
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Convergence Rates for Monte Carlo Experiments

1998
This paper gives a brief overview of techniques developed recently for analyzing the rate of convergence to equilibrium in Markov chain Monte Carlo experiments. A number of applications in statistical physics are mentioned, and extensive references provided.
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Evaluating Photoexcitation Experiments Using Monte Carlo Simulations

1991
This chapter focuses on nonequilibrium carrier dynamics in semiconductors through the evaluation of time dependent optical experiments. Using ensemble Monte Carlo simulations coupled with detailed band structure calculations, we show how the evolution of photoexcited distribution functions are determined.
C. J. Stanton, D. W. Bailey
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Gates' Bidding Model—A Monte Carlo Experiment?

Journal of the Construction Division, 1977
Recently, Gates described several simulation experiments in an attempt to demonstrate the superiority of Gates. model over Friedman.s model to determine the probability of winning a construction contract letting. This note explains why Gates. paper misrepresents Friedman.s model; does not display a sound comprehension of the basic tenets f probability;
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